Search ga_ls8c_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2016-10-16 09:45:45	ga_ls8c_ard_3-0-0_094085_2016-10-16_final
2016-10-16 11:24:38	ga_ls8c_ard_3-0-0_110085_2016-10-16_final
2016-10-28 10:10:29	ga_ls8c_ard_3-0-0_098085_2016-10-28_final
2016-10-29 09:14:52	ga_ls8c_ard_3-0-0_089085_2016-10-28_final
2016-10-30 09:58:07	ga_ls8c_ard_3-0-0_096085_2016-10-30_final
2016-10-30 11:37:00	ga_ls8c_ard_3-0-0_112085_2016-10-30_final
2016-11-10 09:39:33	ga_ls8c_ard_3-0-0_093085_2016-11-10_final
2016-11-10 11:18:26	ga_ls8c_ard_3-0-0_109085_2016-11-10_final
2016-11-11 10:22:49	ga_ls8c_ard_3-0-0_100085_2016-11-11_final
2016-12-12 09:39:31	ga_ls8c_ard_3-0-0_093085_2016-12-12_final
2016-12-12 11:18:24	ga_ls8c_ard_3-0-0_109085_2016-12-12_final
2016-12-13 10:22:47	ga_ls8c_ard_3-0-0_100085_2016-12-13_final
2016-12-24 10:04:11	ga_ls8c_ard_3-0-0_097085_2016-12-24_final
2016-12-26 09:51:50	ga_ls8c_ard_3-0-0_095085_2016-12-26_final
2016-12-26 11:30:43	ga_ls8c_ard_3-0-0_111085_2016-12-26_final
2017-01-13 09:39:24	ga_ls8c_ard_3-0-0_093085_2017-01-13_final
2017-01-13 11:18:17	ga_ls8c_ard_3-0-0_109085_2017-01-13_final
2017-01-14 10:22:39	ga_ls8c_ard_3-0-0_100085_2017-01-14_final
2017-01-23 10:16:25	ga_ls8c_ard_3-0-0_099085_2017-01-23_final
2017-01-24 09:20:48	ga_ls8c_ard_3-0-0_090085_2017-01-23_final
2017-01-25 10:04:03	ga_ls8c_ard_3-0-0_097085_2017-01-25_final
2017-01-29 09:39:18	ga_ls8c_ard_3-0-0_093085_2017-01-29_final
2017-01-30 10:22:33	ga_ls8c_ard_3-0-0_100085_2017-01-30_final
2017-01-31 09:26:55	ga_ls8c_ard_3-0-0_091085_2017-01-30_final
2017-01-31 11:05:48	ga_ls8c_ard_3-0-0_107085_2017-01-31_final
2017-02-10 10:03:55	ga_ls8c_ard_3-0-0_097085_2017-02-10_final
2017-02-12 09:51:32	ga_ls8c_ard_3-0-0_095085_2017-02-12_final
2017-02-12 11:30:26	ga_ls8c_ard_3-0-0_111085_2017-02-12_final
2017-02-14 09:39:10	ga_ls8c_ard_3-0-0_093085_2017-02-14_final
2017-02-14 11:18:03	ga_ls8c_ard_3-0-0_109085_2017-02-14_final
2017-02-15 10:22:26	ga_ls8c_ard_3-0-0_100085_2017-02-15_final
2017-02-16 09:26:48	ga_ls8c_ard_3-0-0_091085_2017-02-15_final
2017-02-16 11:05:41	ga_ls8c_ard_3-0-0_107085_2017-02-16_final
2017-02-17 10:10:04	ga_ls8c_ard_3-0-0_098085_2017-02-17_final
2017-02-18 09:14:26	ga_ls8c_ard_3-0-0_089085_2017-02-17_final
2017-02-19 09:57:41	ga_ls8c_ard_3-0-0_096085_2017-02-19_final
2017-02-19 11:36:34	ga_ls8c_ard_3-0-0_112085_2017-02-19_final
2017-02-21 09:45:19	ga_ls8c_ard_3-0-0_094085_2017-02-21_final
2017-02-21 11:24:12	ga_ls8c_ard_3-0-0_110085_2017-02-21_final
2017-03-05 10:09:57	ga_ls8c_ard_3-0-0_098085_2017-03-05_final
2017-03-06 09:14:19	ga_ls8c_ard_3-0-0_089085_2017-03-05_final
2017-03-07 09:57:35	ga_ls8c_ard_3-0-0_096085_2017-03-07_final
2017-03-07 11:36:28	ga_ls8c_ard_3-0-0_112085_2017-03-07_final
2017-03-09 09:45:12	ga_ls8c_ard_3-0-0_094085_2017-03-09_final
2017-03-09 11:24:05	ga_ls8c_ard_3-0-0_110085_2017-03-09_final
2017-03-11 09:32:49	ga_ls8c_ard_3-0-0_092085_2017-03-11_final
2017-03-11 11:11:42	ga_ls8c_ard_3-0-0_108085_2017-03-11_final
2018-03-12 09:45:01	ga_ls8c_ard_3-0-0_094085_2018-03-12_final
2018-03-12 11:23:54	ga_ls8c_ard_3-0-0_110085_2018-03-12_final
2018-03-14 09:32:38	ga_ls8c_ard_3-0-0_092085_2018-03-14_final
2018-03-14 11:11:31	ga_ls8c_ard_3-0-0_108085_2018-03-14_final
2018-05-17 09:32:03	ga_ls8c_ard_3-0-0_092085_2018-05-17_final
2018-05-17 11:10:55	ga_ls8c_ard_3-0-0_108085_2018-05-17_final
2020-05-29 09:38:42	ga_ls8c_ard_3-1-0_093085_2020-05-29_final
2020-05-29 11:17:35	ga_ls8c_ard_3-1-0_109085_2020-05-29_final
2020-05-30 10:21:58	ga_ls8c_ard_3-1-0_100085_2020-05-30_final
2020-05-31 09:26:21	ga_ls8c_ard_3-1-0_091085_2020-05-30_final
2020-05-31 11:05:14	ga_ls8c_ard_3-1-0_107085_2020-05-31_final
2020-06-01 10:09:38	ga_ls8c_ard_3-1-0_098085_2020-06-01_final
2020-06-02 09:14:01	ga_ls8c_ard_3-1-0_089085_2020-06-01_final
2020-06-03 09:56:54	ga_ls8c_ard_3-1-0_096084_2020-06-03_final
2020-06-03 09:57:18	ga_ls8c_ard_3-1-0_096085_2020-06-03_final
2020-06-03 11:36:11	ga_ls8c_ard_3-1-0_112085_2020-06-03_final
2020-06-17 10:09:48	ga_ls8c_ard_3-1-0_098085_2020-06-17_final
2020-06-18 09:14:11	ga_ls8c_ard_3-1-0_089085_2020-06-17_final
2020-06-19 09:57:27	ga_ls8c_ard_3-1-0_096085_2020-06-19_final
2020-06-19 11:36:20	ga_ls8c_ard_3-1-0_112085_2020-06-19_final
2020-07-23 09:45:19	ga_ls8c_ard_3-1-0_094085_2020-07-23_final
2020-07-23 11:24:12	ga_ls8c_ard_3-1-0_110085_2020-07-23_final
2020-07-25 09:32:58	ga_ls8c_ard_3-1-0_092085_2020-07-25_final
2020-07-25 11:11:51	ga_ls8c_ard_3-1-0_108085_2020-07-25_final
2020-08-01 09:39:11	ga_ls8c_ard_3-1-0_093085_2020-08-01_final
2020-08-01 11:18:04	ga_ls8c_ard_3-1-0_109085_2020-08-01_final
2020-08-02 10:22:27	ga_ls8c_ard_3-1-0_100085_2020-08-02_final
2020-08-03 09:26:49	ga_ls8c_ard_3-1-0_091085_2020-08-02_final
2020-08-03 11:05:42	ga_ls8c_ard_3-1-0_107085_2020-08-03_final
2023-12-02 09:27:03	ga_ls8c_ard_3-2-1_091085_2023-12-01_final
2023-12-03 10:10:18	ga_ls8c_ard_3-2-1_098085_2023-12-03_final
2023-12-04 09:14:39	ga_ls8c_ard_3-2-1_089085_2023-12-03_final
2023-12-05 09:57:54	ga_ls8c_ard_3-2-1_096085_2023-12-05_final
2023-12-07 09:45:30	ga_ls8c_ard_3-2-1_094085_2023-12-07_final
2023-12-07 11:24:23	ga_ls8c_ard_3-2-1_110085_2023-12-07_final
2023-12-09 09:33:10	ga_ls8c_ard_3-2-1_092085_2023-12-09_final
2023-12-14 09:51:46	ga_ls8c_ard_3-2-1_095085_2023-12-14_final
2023-12-16 09:39:26	ga_ls8c_ard_3-2-1_093085_2023-12-16_final
2023-12-18 09:27:05	ga_ls8c_ard_3-2-1_091085_2023-12-17_final
2023-12-19 10:10:21	ga_ls8c_ard_3-2-1_098085_2023-12-19_final
2023-12-20 09:14:44	ga_ls8c_ard_3-2-1_089085_2023-12-19_final
2023-12-21 09:57:59	ga_ls8c_ard_3-2-1_096085_2023-12-21_final
2023-12-23 09:45:38	ga_ls8c_ard_3-2-1_094085_2023-12-23_final
2023-12-23 11:24:31	ga_ls8c_ard_3-2-1_110085_2023-12-23_final
2023-12-25 09:33:16	ga_ls8c_ard_3-2-1_092085_2023-12-25_final
2023-12-26 10:16:31	ga_ls8c_ard_3-2-1_099085_2023-12-26_final
2023-12-27 09:20:53	ga_ls8c_ard_3-2-1_090085_2023-12-26_final
2023-12-28 10:04:08	ga_ls8c_ard_3-2-1_097085_2023-12-28_final
2023-12-30 09:51:45	ga_ls8c_ard_3-2-1_095085_2023-12-30_final
2024-01-01 09:39:22	ga_ls8c_ard_3-2-1_093085_2024-01-01_final
2024-01-03 09:26:58	ga_ls8c_ard_3-2-1_091085_2024-01-02_final
2024-02-02 09:39:18	ga_ls8c_ard_3-2-1_093085_2024-02-02_final
2024-02-04 09:26:57	ga_ls8c_ard_3-2-1_091085_2024-02-03_final

Return to ga_ls8c_ard_3 whole collection overview

ga_ls8c_ard_3: Geoscience Australia Landsat 8 Operational Land Imager and Thermal Infra-Red Scanner Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years